Instructions to use alvarodt/geocoding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alvarodt/geocoding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="alvarodt/geocoding")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("alvarodt/geocoding") model = AutoModel.from_pretrained("alvarodt/geocoding", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from alvarodt/geocoding: direct link, hf CLI and curl.
- Browser
- Download file 233 MB
-
https://huggingface.co/alvarodt/geocoding/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://alvarodt/geocoding@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/alvarodt/geocoding/resolve/refs%2Fpr%2F1/pytorch_model.bin
233 MB
- Xet hash:
- 2cdbfa0fc5ee60c46535c0d163a5313b4742beb53327849c7bcfaa5e5477575f
- Size of remote file:
- 233 MB
- SHA256:
- 92811d548c5911d9cd9ea803ac49b02def8d8c5c3b900d6b45018a03382919df
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